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MIPRE.Background.LIDT.MIPStarRE.LDT.GlobalVariance.Defs.Core

Section 8 global variance: core definitions #

Basic question and answer types (axis-parallel line questions, point-pair questions) underlying the Section 8 global-variance construction.

References #

Basic question and answer types #

@[reducible, inline]

An axis-parallel line together with a point queried on that line.

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    @[reducible, inline]

    A pair of points used for local or global variance comparisons.

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      @[reducible, inline]

      Degree-bounded polynomial answers: global low-individual-degree polynomials over the chosen field model, i.e. pairs of a multivariate polynomial and a proof that each individual degree is at most params.d. Coerces to a raw function Point params → Fq params via Polynomial.toFun, so downstream callers may still write g u to evaluate.

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        @[reducible, inline]

        Degree-bounded axis-line answers: univariate polynomials of degree at most params.d over the chosen field model. Coerces to a raw function Fq params → Fq params via AxisLinePolynomial.toFun.

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          @[instance_reducible]

          Axis-parallel lines are finitely enumerable via their base point and direction.

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          A default low-degree polynomial witnessing nonemptiness of the finite polynomial answer type.

          A valid axis-parallel line question pairs a line with a point lying on it.

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            The affine line parameter of the sampled point in an axis-parallel line question.

            For a line ℓ(t) = base + t e_i, the sampled point u has affine parameter u_i - base_i. This is the parameter used by the axis-parallel line-test API; it is not the raw coordinate u_i unless the line base has zero in direction i.

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              @[simp]

              The recovered parameter of ℓ.pointAt t is exactly t.

              The distribution of an axis-parallel line together with a point queried on it.

              The paper samples u ∈ F_q^m uniformly, then samples a direction i uniformly, and finally takes the axis-parallel line through u in direction i. Since AxisParallelLineQuestion params is represented as a pair (ℓ, u), we realize this as the normalized uniform distribution on the finite set of incident pairs, i.e. those with u ∈ ℓ.

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                The incident axis-line sample space is nonempty: take any point, any coordinate direction, and the canonical line through that point.

                The incident axis-line distribution is a probability distribution.

                The incident axis-line distribution is Mathlib's uniform PMF on its finite incident-pair support.

                The uniform distribution over bundled low-individual-degree polynomials.

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                  The polynomial-answer distribution is a probability distribution.

                  The polynomial-answer distribution is Mathlib's uniform PMF on the finite answer type.